CytomX Therapeutics (CTMX) Total Liabilities (2014 - 2026)
CytomX Therapeutics' Total Liabilities was $79.16 million in Q2 2026, up 43.5% from $55.15 million a year earlier and up 100.8% from the prior quarter.
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Analysis
CytomX Therapeutics (CTMX) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at CytomX Therapeutics came in at $52.56 million, down 56.6% from FY2024.
- Total Liabilities has now declined for three consecutive years, with a five-year compound annual growth rate of -32.2% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $120.99 million in FY2024 (-51.5%), $249.24 million in FY2023 (-28.1%), $346.64 million in FY2022 (+2.0%) and $339.87 million in FY2021 (-7.3%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities since Q4 2024.
- Compared with a year earlier, Total Liabilities was higher in 1 of the last eight quarters, with an average decline of 44.6%.
- The best year-over-year quarter for Total Liabilities over five years was Q2 2026 (growth of 43.5%); the worst was Q2 2025 (a decline of 71.0%).
- Per Business Quant data, CTMX's Total Liabilities in the three quarters before Q2 2026 was $39.41 million (Q1 2026), $52.56 million (Q4 2025) and $50.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | CytomX Therapeutics | 586.15 Mn | -371.52 Mn | - | 79.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.16 Mn |
| Mar 31, 2026 | 39.41 Mn |
| Dec 31, 2025 | 52.56 Mn |
| Sep 30, 2025 | 50.87 Mn |
| Jun 30, 2025 | 55.15 Mn |
| Mar 31, 2025 | 73.45 Mn |
| Dec 31, 2024 | 120.99 Mn |
| Sep 30, 2024 | 162.43 Mn |
| Jun 30, 2024 | 190.45 Mn |
| Mar 31, 2024 | 216.37 Mn |
| Dec 31, 2023 | 249.24 Mn |
| Sep 30, 2023 | 272.41 Mn |
| Jun 30, 2023 | 294.21 Mn |
| Mar 31, 2023 | 321.27 Mn |
| Dec 31, 2022 | 346.64 Mn |
| Sep 30, 2022 | 307.03 Mn |
| Jun 30, 2022 | 314.62 Mn |
| Mar 31, 2022 | 326.57 Mn |
| Dec 31, 2021 | 339.87 Mn |
| Sep 30, 2021 | 340.80 Mn |
API Access
CytomX Therapeutics Total Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-liabilities&ticker=CTMX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CTMX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=CTMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();